May 2026 Survey on Generative AI Value Perception and Continuity Intent

According to an ICT Research Institute survey, 59.2% of users find generative AI indispensable, signaling its integration into daily workflows. A paradigm shift in information gathering is underway, with 41.3% of users reporting reduced reliance on search engines.
techNQ 52/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 28, 2026 at 09:00
  • 🔍 Collected: June 1, 2026 at 00:50 (87h 50m after Published)
  • 🤖 AI Analyzed: June 1, 2026 at 23:47 (22h 56m after Collected)
In May 2026, ICT Research Institute compiled additional analysis from its "February 2026 Generative AI Service Usage Trends Survey." This report focuses on the "perceived value" and "continuity intent" of generative AI services, clarifying how users evaluate these tools and their plans for future usage. In a web survey conducted in February 2026, users were asked how much they would struggle if generative AI services were no longer available. 18.3% answered "very much" and 40.9% answered "somewhat," totaling 59.2% who expressed some level of difficulty. This figure indicates that generative AI has transcended its role as a mere auxiliary tool and is becoming indispensable in daily life and business. Furthermore, 55.9% of all respondents expressed an intent to continue using the services within the next year, suggesting significant room for market expansion. Regarding usage frequency, 67% of ChatGPT users and 66% of Gemini users reported an "increase," indicating a transition from trial use to established usage. Additionally, 41.3% of users reported that their use of search engines has decreased since using generative AI, revealing a shift in information-gathering behavior. Looking ahead, 56.6% of users identified "providing accurate information" as their top expectation, highlighting a strong demand for functional improvements.

FAQ

Is this research applicable to the Taiwan market?

Yes, as Taiwan has a high AI adoption rate, the trends in search behavior and expectations for productivity are highly relevant.